Step. Steps run in order, and the step
names show up in logs and step output, which makes multi-step runs easier to follow.
When to use: Linear processes with distinct phases that benefit from clear naming.
Install dependencies:
uv pip install agno openai yfinance sqlalchemy
sequence_of_steps.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.yfinance import YFinanceTools
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow
# Define agents
hackernews_agent = Agent(
name="Hackernews Agent",
model=OpenAIResponses(id="gpt-5.2"),
tools=[HackerNewsTools()],
role="Extract key insights and content from Hackernews posts",
)
finance_agent = Agent(
name="Finance Agent",
model=OpenAIResponses(id="gpt-5.2"),
tools=[YFinanceTools()],
role="Get stock prices and financial data",
)
# Define research team for complex analysis
research_team = Team(
name="Research Team",
members=[hackernews_agent, finance_agent],
instructions="Research tech topics and related stocks",
)
content_planner = Agent(
name="Content Planner",
model=OpenAIResponses(id="gpt-5.2"),
instructions=[
"Plan a content schedule over 4 weeks for the provided topic and research content",
"Ensure that I have posts for 3 posts per week",
],
)
# Define steps
research_step = Step(
name="Research Step",
team=research_team,
)
content_planning_step = Step(
name="Content Planning Step",
agent=content_planner,
)
content_creation_workflow = Workflow(
name="Content Creation Workflow",
description="Automated content creation from blog posts to social media",
db=SqliteDb(
session_table="workflow_session",
db_file="tmp/workflow.db",
),
steps=[research_step, content_planning_step],
)
# Create and use workflow
if __name__ == "__main__":
content_creation_workflow.print_response(
input="AI trends in 2024",
markdown=True,
)